Sharing Is Caring? International Society for Pharmacoepidemiology Review and Recommendations for Sharing Programming Code

Author:

Tazare John1ORCID,Wang Shirley V.2ORCID,Gini Rosa3ORCID,Prieto‐Alhambra Daniel45ORCID,Arlett Peter6,Morales Leaver Daniel R.67,Morton Caroline8,Logie John9,Popovic Jennifer10,Donegan Katherine11,Schneeweiss Sebastian2ORCID,Douglas Ian1,Schultze Anna1

Affiliation:

1. Faculty of Epidemiology and Population Health London School of Hygiene & Tropical Medicine London UK

2. Brigham and Women's Hospital, Harvard Medical School Boston Massachusetts USA

3. Agenzia Regionale di Sanità della Toscana Florence Italy

4. Pharmaco‐ and Device Epidemiology, Botnar Research Centre NDORMS, University of Oxford Oxford UK

5. Data Analytics and Methods Taskforce, Department of Medical Informatics Erasmus MC Rotterdam Netherlands

6. European Medicines Agency Amsterdam Netherlands

7. Division of Population Health and Genomics University of Dundee Dundee UK

8. Queen Mary University of London London UK

9. GlaxoSmithKline Brentford UK

10. GlaxoSmithKline Waltham Massachusetts United States

11. UK Medicines and Healthcare Products Regulatory Agency London UK

Abstract

ABSTRACTPurposeThere is increasing recognition of the importance of transparency and reproducibility in scientific research. This study aimed to quantify the extent to which programming code is publicly shared in pharmacoepidemiology, and to develop a set of recommendations on this topic.MethodsWe conducted a literature review identifying all studies published in Pharmacoepidemiology and Drug Safety (PDS) between 2017 and 2022. Data were extracted on the frequency and types of programming code shared, and other key open science practices (clinical codelist sharing, data sharing, study preregistration, and stated use of reporting guidelines and preprinting). We developed six recommendations for investigators who choose to share code and gathered feedback from members of the International Society for Pharmacoepidemiology (ISPE).ResultsProgramming code sharing by articles published in PDS ranged from 1.8% in 2017 to 9.5% in 2022. It was more prevalent among articles with a methodological focus, simulation studies, and papers which also shared record‐level data.ConclusionProgramming code sharing is rare but increasing in pharmacoepidemiology studies published in PDS. We recommend improved reporting of whether code is shared and how available code can be accessed. When sharing programming code, we recommend the use of permanent digital identifiers, appropriate licenses, and, where possible, adherence to good software practices around the provision of metadata and documentation, computational reproducibility, and data privacy.

Funder

International Society for Pharmacoepidemiology

Publisher

Wiley

Reference44 articles.

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